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  <title><![CDATA[AE Presents: Dr. Ellen Yi Chen Mazumdar from Sandia National Laboratories]]></title>
  <body><![CDATA[<p>You are invited to hear</p>

<h2><strong>Dr. Ellen Yi Chen Mazumdar</strong></h2>

<p><strong>Diagnostic Science and Engineering group<br />
Sandia National Laboratories&nbsp;</strong></p>

<h2><strong>&ldquo;Multi-Modality Sensing and Encoding for Advanced Diagnostic Measurements&rdquo;</strong></h2>

<p><strong>Friday, October 27 @ 11 a.m.</strong><br />
<strong>Montgomery Knight Room 317</strong></p>

<p><strong>Abstract:</strong><br />
Many important physical behaviors are often poorly understood because they occur in challenging environments such as within solid propellant flames or near shockwave-induced fragmentation events. To better understand these systems, new diagnostics need to be developed that quickly gather information on multiple modalities.&nbsp; In particular, I am interested in how encoding mechanisms can be exploited to gather data rapidly and then decoded to elucidate multiple physical phenomena and implement advanced control.&nbsp; Many mechanisms such as optical diffraction, coherent interference, and magnetic field superposition inherently contain encoding principles, which can be further enhanced with adaptive under-sampling, active feedback control and stochastic system identification algorithms.&nbsp; In this talk, I describe several multi-modality diagnostic measurement methods and discuss their application to challenging environments.&nbsp; These include: 1) Digital holography methods for encoding three-dimensional information on two-dimensional sensors, 2)&nbsp;Hyperspectral imaging and adaptive under-sampling, and 3)&nbsp;Remote high speed magnetic field sensing of temperature, vibration, and fluid vorticity.&nbsp; &nbsp;The talk will conclude with an overview of my vision for how multi-modality sensing and encoding can be utilized for advancing high speed magnetic/optical diagnostics, bio-inspired perception, and miniaturized sensing for distributed state estimation and control.</p>

<p><strong>Dr. Ellen Yi Chen Mazumdar </strong>is currently a postdoctoral appointee at Sandia National Laboratories in the Diagnostic Science and Engineering group.&nbsp; She received her B.S. and M.S. in mechanical engineering from Massachusetts Institute of Technology (MIT).&nbsp;&nbsp; In 2015, she received her Ph.D. in mechanical engineering from the MIT BioInstrumentation Laboratory under the guidance of Professor Ian W. Hunter.&nbsp; She received first place in the 2014 MIT de&nbsp;Florez Graduate Design Competition for &quot;outstanding ingenuity and creative development&quot; of a multi-link robotic endoscope.&nbsp; &nbsp;She was also the recipient of the National Science Foundation Graduate Research Fellowship (2008-2013) and the National Defense Science and Engineering Graduate Fellowship through the Department of Defense (2010-2013).&nbsp; Her research focuses on developing novel sensors, robots, instrumentation, and mathematical techniques for understanding or controlling physics in challenging environments.</p>

<p>&nbsp;</p>
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